Download or read book Extracting Land Cover Change Classes in the Cosumnes River Watershed from Landsat TM ETM Images Using Spectral Indices written by Nina Vasilievna Noujdina and published by . This book was released on 2003 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Guide to Geography Programs in North America written by and published by . This book was released on 2005 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Assessment of Techniques for Land Cover Change Detection with Landsat MSS and TM Data written by Tung Fung and published by . This book was released on 1988 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Using Generalized Linear Models to Enhance Satellite Based Land Cover Change Detection written by and published by . This book was released on 1904 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: A popular satellite based land cover change detection technique is to compare the spectral information for each pixel, from two images acquired at different dates. For each pixel, if there is a big enough difference between the reflectance values from the two images, the area represented by that pixel is considered to have changed. The change detection methods are different in how they determine a "big enough difference". The analyst is left to choose which function of the reflectance values to use and where to set the "change" threshold. These choices are often subjective and affect the accuracy of the change detection. In this dissertation we describe and defend the thesis that Generalized Linear Models can be used to enhance satellite based land cover change detection. This is done by first presenting some background on satellite based change detection and then describing how the Generalized Linear Models relate to existing satellite based change detection algorithms. This is followed by an example change detection, which utilizes Generalized Linear Models. The example uses subset images from Landsat Thematic Mapper Data. The data are from 1988 and 1994. For each time period there are overlapping subset images for an area over Raleigh, North Carolina and two overlapping subset images for an area over a coastal region of North Carolina. In each region we collect a sample at 260 ground locations. For each location, land cover changes are determined from high-resolution air photo reference data. This is coupled with the satellite radiance values for the corresponding area. Generalized Linear Models are then used to regress the binary response of change/no-change (as determined from the air photos) on the radiance values extracted from the satellite imagery. In doing so, the models help determine the most appropriate function of the reflectance values to use for predicting change. For the data in this study, the GLMs indicated a combination of radiance values to be m.
Download or read book An Investigation of Data Integration and Texture Analysis Using ERS and Landsat TM Data for Land Cover Assessment written by Nathan P. Jennings and published by . This book was released on 1996 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Remote Sensing and Regional Climate Modeling of Impacts of Land Cover Changes on the Climate of the Marmara Region of Turkey written by Elif Sertel and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This research investigated the usage of different remote sensing techniques to determine land cover change, impacts of land cover change on summer climate of the Marmara Region, the utilization of Landsat images in regional climate modeling and the accuracy of global land cover data sets used in climate modeling. The Marmara Region, which experienced significant land cover changes as a result of rapid industrialization and population increase especially after 1980s, was selected as my study area. At the first stage of the research, Landsat MSS images obtained between 1972 and 1975 and Landsat ETM images obtained between 2001 and 2005 were used to derive multi-temporalland cover data of the Marmara Region. First, all images were atmospherically and radiometrically corrected to minimize contamination effects of atmospheric particles (scattering and absorption effects due to the atmosphere ) and systematic errors. Then, geometric correction was performed for each image to eliminate geometric distortions, correct errors in the relative positions of pixels, and defıne images in a common coordinate system. A new approach, semivariograms, was introduced to select appropriate band combinations for studying different land cover classes and determİne the regions having significant land cover changes. It was found that semivariograms can be used to determİne spatial variations and significantly changed areas can be identified using the changes in semivariogram parameters. Spatial profiles were created and examined to find out significant land cover changes in pilot regions and to determine the location and the size of land cover changes occurred in coastal zones. Based on the information obtained from semivariograms and spatial profiles, several pilot areas were created and classification employed separately for each area to minİmize the spectral mixing of various classes such as barren, crop and urban and increase the classification accuracy .The classification results were aggregated to 1 km and change detection.
Download or read book Analysis of Land Use and Land Cover Change in Kiskatinaw River Watershed written by Siddhartho Shekhar Paul and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This thesis study was conducted to capture the land use and land cover (LULC) change dynamics in Kiskatinaw River Watershed, BC, Canada. A combination of remote sensing, GIS and modeling approach was utilized for this purpose. Landsat TM and ETM+ satellite images of the years 1984, 1999 and 2010 were analyzed using object oriented image classification technique to produce LULC maps and detect the associated changes. The dynamic nature of different forest types, increase in built-up area and significant depletion of wetlands were found to be notable among the detected LULC changes. Thereafter, a multi-layer perception neural network technique was used to model transition potentials of various LULC types, which was later realized with a Markov Chain land use model to predict future changes. The integration of advanced satellite remote sensing tools and neural network aided Markov Chain modeling was illustrated to be an effective means for LULC change detection and prediction in Kiskatinaw River Watershed."--Leaf ii.
Download or read book Characterizing Post grazing Land Cover Change Trajectories on Santa Cruz Island CA with Multitemporal Landsat Data and Spectral Mixture Analysis written by Ryan L. Perroy and published by . This book was released on 2004 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Change Detection of Land Use and Land Cover Using Landsat 8 and Sentinel 2A Images written by Mohammed Abdulmohsen Alhedyan and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Boreas Te 18 Landsat TM Maximum Likelihood Classification Image of the Ssa written by National Aeronautics and Space Administration (NASA) and published by Createspace Independent Publishing Platform. This book was released on 2018-06-16 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: The BOREAS TE-18 team focused its efforts on using remotely sensed data to characterize the successional and disturbance dynamics of the boreal forest for use in carbon modeling. The objective of this classification is to provide the BOREAS investigators with a data product that characterizes the land cover of the SSA. A Landsat-5 TM image from 02-Sep- 1994 was used to derive the classification. A technique was implemented that uses reflectances of various land cover types along with a geometric optical canopy model to produce spectral trajectories. These trajectories are used as training data to classify the image into the different land cover classes. These data are provided in a binary image file format. The data files are available on a CD-ROM (see document number 20010000884), or from the Oak Ridge National Laboratory (ORNL) Distributed Active Center (DAAC). Hall, Forrest G. (Editor) and Knapp, David Goddard Space Flight Center NASA/TM-2000-209891/VOL175, Rept-2000-03136-0/VOL175, NAS 1.15:209891/VOL175
Download or read book Use of Landsat TM and ETM to Describe Intra season Change in Vegetation with Consideration for Wildlife Management written by Roberta J. Lay and published by . This book was released on 2005 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Quantitative Assessment of Land Cover Change Using Landsat Time Series Data written by Kamrul Islam and published by . This book was released on 2016 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to inappropriate management and absence of land use planning, land cover change of developing country like Bangladesh is a common phenomenon. This land cover change phenomenon will have its tremendous effect if found at a greater extent on natural habitat area for numerous animal and tree species. In this study, land cover change of Chunati Wildlife Sanctuary (CWS) was assessed from (2005-2015) using Landsat TM (Thematic Mapper) and Landsat 8 OLI/TIRS (Operational Land Imager/Thermal Infrared Sensor). ArcGIS v10.1 and ERDAS Imagine v14 were used to process satellite derived imageries and assess other quantitative data for land cover change assessment of this study area. Land cover change of the area was identified using Normalized Difference Vegetation Index (NDVI) technique. Highest NDVI value was found in 2005 (0.71) which denotes presence of moderate-high vegetation cover at that time period. After 2005, highest NDVI value was found following a decreasing trend (0.56 in 2010 and 0.4 in 2015) which clearly represents the rapid vegetation cover change in the study area. Almost 7608 hectares of moderate to high density natural forest cover dominated the area during 2005 but was totally absent in 2015 which may be considered as a great threat regarding proper ecosystem functioning of CWS. From the findings of this research, it can be easily concluded that the sanctuary area has lost its valuable land cover both qualitatively and quantitatively.
Download or read book Land Cover Classification on Satellite Image Time Series Using Deep Learning Models written by Zhihao Wang and published by . This book was released on 2020 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: Monitoring land cover changes plays an important role in the studies of climate change and sustainable development. As more and more Satellite Image Time Series (SITS) data become available, it is important to develop land cover classification methods that can make full use of the temporal information from the SITS. As a state-of-the-art framework, Deep Learning has shown its strong performance in extracting spatial and temporal features from a large number of data. Hence, this thesis proposes a Convolution Neural Network – Bidirectional Gated Recurrent Unit (CNN-BiGRU) model for land cover classification on SITS data. Specifically, CNN-BiGRU can extract valuable temporal and spectral information using CNN layers and model the temporal dependence using BiGRU layers. The 7-year NLCD land cover changes dataset and the time series challenge dataset are used to evaluate the performance of CNN-BiGRU on the classification of changed and unchanged land cover. The results show the proposed CNN-BiGRU outperforms the current popular classification methods, including the traditional Random Forest methods with different temporal representations (e.g. selecting all temporal bands as one vector or using one date image based on MaxNDVI) and the widely used deep learning models (e.g. CNN and Recurrent Neural Network). However, limitations are that errors exist in the reference data collected from NLCD products; there is no spatial information considered in the framework; temporal information is only utilized at the feature level. Future studies could integrate the spatial information into the classification process, and post-refine the temporal consistency based on the probability outputs.
Download or read book Qualitative Research for the Information Professional written by G. E. Gorman and published by Facet Publishing. This book was released on 2005 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: This established text is the only introduction to qualitative research methodologies in the field of library and information management. Its extensive coverage encompasses all aspects of qualitative research work from conception to completion, and all types of study in a variety of settings from multi-site projects to data organization. The book features many case studies and examples, and offers a comprehensive manual of practice designed for LIS professionals. This new edition has been thoroughly revised and includes three new chapters. It has been updated to take account of the substantial growth in the amount and quality of web-based information relevant to qualitative research methods and practice, and the many developments in software applications and resources. The authors have identified a clear need for a new chapter on the evaluation of existing research, as a gateway into new research for information professionals. The final chapter, 'Human Resources In Knowledge Management', takes the form of a model case study, and is an 'ideal' qualitative investigation in an information setting. It exemplifies many of the approaches to qualitative research discussed in earlier chapters. Readership: Directed primarily at the beginner researcher, this book also offers a practical refresher in this important area for the more experienced researcher. It is a useful tool for all practitioners and researchers in information organizations, whether libraries, archives, knowledge management centres, record management centres, or any other type of information service provider.
Download or read book The Seine River Basin written by Nicolas Flipo and published by Springer Nature. This book was released on 2021-01-30 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book reviews the water-agro-food and socio-eco-system of the Seine River basin (76,000 km2), and offers a historical perspective on the river’s long-term contamination. The Seine basin is inhabited by circa 17 million people and is impacted by intensive agricultural practices and industrial activities. These pressures have gradually affected its hydrological, chemical and ecological functioning, leading to a maximum chemical degradation between the 1960s and the 1990s. Over the last three decades, while major water-quality improvements have been observed, new issues (e.g. endocrine disruptors, microplastics) have also emerged. The state of the Seine River network, from the headwaters to estuary, is increasingly controlled by the balance between pressures and social responses. This socio-ecosystem provides a unique example of the functioning of a territory under heavy anthropogenic pressure during the Anthropocene era. The achievements made were possible due to the long-term PIREN Seine research program, established in 1989 and today part of the French socio-ecological research network “Zones Ateliers”, itself part of the international Long-term Socio-economic and Ecological Research Network (LTSER). Written by experts in the field, the book provides an introduction to the water budget and the territorial metabolism of the Seine basin, and studies the trajectories and impact of various pollutants in the Seine River. It offers insights into the ecological functioning, the integration of agricultural practices, the analysis of aquatic organic matter, and the evolution of fish assemblages in the Seine basin, and also presents research perspectives and approaches to improve the water quality of the Seine River. Given its scope, it will appeal to environmental managers, scientists and policymakers interested in the long-term contamination of the Seine River.
Download or read book Flux and Sources of Nutrients in the Mississippi Atchafalaya River Basin written by and published by . This book was released on 1999 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Picloram Herbicide for Killing Chaparral Species written by Lisle R. Green and published by . This book was released on 1966 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt:
